| | |
| |
|
| | |
| | __all__ = ['learn', 'categories', 'image', 'label', 'intf', 'is_cat', 'classify_image'] |
| |
|
| | |
| | from fastai.vision.all import * |
| |
|
| | |
| | def is_cat(x): return x[0].isupper() |
| |
|
| | |
| | learn = load_learner('model.pkl') |
| |
|
| | |
| | categories = ('Dog', 'Cat') |
| |
|
| | def classify_image(img): |
| | pred, idx, probs =learn.predict(img) |
| | return dict(zip(categories, map(float, probs))) |
| |
|
| | |
| | import gradio as gr |
| | image = gr.components.Image(height=512, width= 512) |
| | label = gr.components.Label() |
| | intf = gr.Interface(fn=classify_image, inputs=image, outputs=label).launch(share=False) |
| | intf.launch(inline=False) |
| |
|